Youden Index Method Research Articles

Development and Evaluation of the DMIND Questionnaire: Preparing for AI Integration into an Effective Depression Screening Tool

Objective: Thailand’s mental health crisis is exacerbated by high demand and a shortage of mental health professionals. The research objective was to develop and validate the Detection and Monitoring Intelligence Network for Depression (DMIND) questionnaire, designed to be culturally relevant and easily administered in clinical settings. Crafted with expert input, items specifically conducive to artificial intelligence (AI) analysis were selected to facilitate the future development of an AI-assisted depression scoring model. This approach underscores the tool’s dual utility in both human-led and technology-enhanced diagnostics. Materials and Methods: We enrolled 81 participants from psychiatric and tertiary care hospitals in Bangkok. Participants were assessed using the DMIND questionnaire, followed by the Hamilton Depression Rating Scale (HDRS-17). Statistical analyses included the content validity index (CVI), Cronbach’s alpha, Pearson’s correlation coefficient, Cohen’s kappa, and receiver operating characteristic (ROC) analysis. The Liu method, Youden index, and nearest neighbor method were used to determine the optimal cut-off point Results: The DMIND questionnaire showed strong validity, with an item-level CVI (I-CVI) and scale-level CVI (S-CVI) exceeding 1.0, indicating strong consensus on its relevance and utility. The tool also demonstrated high internal consistency (Cronbach’s alpha = 0.96). ROC analysis showed an AUC of 0.88, indicating high accuracy in depression screening. An optimal cut-off score of 11.5 was identified, balancing predictive value and sensitivity. Conclusion: The DMIND questionnaire represents a significant advancement in innovative mental health diagnostics, addressing unmet clinical needs by providing accurate and efficient assessments capable of AI integration for further enhancing mental health service delivery in Thailand.

Real-world evaluation of RetCAD deep-learning system for the detection of referable diabetic retinopathy and age-related macular degeneration

ABSTRACT Clinical Relevance The challenges of establishing retinal screening programs in rural settings may be mitigated by the emergence of deep-learning systems for early disease detection. Background Deep-learning systems have demonstrated promising results in retinal disease detection and may be particularly useful in rural settings where accessibility remains a barrier to equitable service provision. This study aims to evaluate the real-world performance of Thirona RetCAD for the detection of referable diabetic retinopathy and age-related macular degeneration in a rural Australian population. Methods Colour fundus images from participants with known diabetic retinopathy or age-related macular degeneration were randomly selected from ophthalmology clinics in four rural Australian centres. Grading was confirmed retrospectively by two retinal specialists. RetCAD produced a quantitative measure (0–100) for DR and AMD severity. The area under the ROC curve (AUC) was calculated. Sensitivity, specificity, and positive and negative predictive values were calculated at a pre-defined cut-point of ≥50. Results A total of 150 images from 82 participants were included. The mean age (SD) was 64.0 (12.8) years. Seventy-nine (52.7%) eyes had evidence of referable DR, while 54 (36.0%) had evidence of referable AMD. The AUC for referable DR detection was 0.971 (95% CI 0.950–0.936) with a sensitivity of 86.1% (76.8%–92.0%) and a specificity of 91.6% (82.8%−96.1%) at the pre-defined cut-point. Using the Youden Index method, the optimal cut-point was 41.2 (sensitivity 93.7%, specificity 90.1%). The AUC for the detection of referable AMD was 0.880 (0.824–0.936). At the pre-defined cut-point sensitivity was 88.9% (77.8%–94.8%) and specificity was 66.7% (56.8%–75.3%). The optimal cut-point was 52.6 (sensitivity 87.0%, specificity 75.0%). Conclusion RetCAD is comparable with but does not outperform equivalent deep-learning systems for retinal disease detection. RetCAD may be suitable as an automated screening tool in a rural Australian setting.

Unveiling the untreated: development of a database algorithm to identify potential Fabry disease patients in Germany

BackgroundFabry disease (FD), an X-linked lysosomal storage disorder, is caused by mutations in the gene encoding α-galactosidase A, resulting in lysosomal accumulation of globotriaosylceramide and other glycosphingolipids. Early detection of FD is challenging, accounting for delayed diagnosis and treatment initiation. This study aimed to develop an algorithm using a logistic regression model to facilitate early identification of patients based on ICD-10-GM coding using a German Sickness Fund Database.MethodsThe logistic regression model was fitted on a binary outcome variable based on either a treated FD cohort or a control cohort (without FD). Comorbidities specific to the involved organs were used as covariates to identify potential FD patients with ICD-10-GM E75.2 diagnosis but without any FD-specific medication. Specificity and sensitivity of the model were optimized to determine a likely threshold. The cut-point with the largest values for the Youden index and concordance probability method and the lowest value for closest to (0,1) was identified as 0.08 for each respective value. The sensitivity and specificity for this cut-point were 80.4% and 79.8%, respectively. Additionally, a sensitivity analysis of the potential FD patients with at least two codes of E75.2 diagnoses was performed.ResultsA total of 284 patients were identified in the potential FD cohort using the logistic regression model. Most potential FD patients were < 30 years old and female. The identification and incidence rates of FD in the potential FD cohort were markedly higher than those of the treated FD cohort.ConclusionsThis model serves as a tool to identify potential FD patients using German insurance claims data.

Breathing reserve as a predictor of postoperative pulmonary complications in patients with lung cancer

The objective was to assess the possibility of using breathing reserve (BR) to evaluate the individual risk of postoperative pulmonary complications (PPC) in patients who underwent open surgery for lung cancer.Materials and methods. The study involved 185 patients who underwent open surgery for lung cancer in the clinic of the Pavlov University in 2018–2020. All patients underwent cardiopulmonary exercise testing (CPET) in the preoperative period to determine the BR. All patients were retrospectively divided into 2 groups depending on the presence of PPC during 7 days after the surgery. To assess the information content of BR for predicting PPC and their outcome, the data were statistically processed: the Mann–Whitney U-test, Fisher’s exact test, Youden index and linear regression method were used.Results. PPC developed in 7 patients (3.8%), in 3 of them (42.9% of the group with PC and 1.6% of the total group) they were accompanied by acute respiratory failure (ARF), requiring reintubation and mechanical ventilation; these patients died. At the anaerobic threshold (AT), there were significant differences in BR (p = 0.003). A direct correlation was found between BR at the AT not only at the peak load but also during the unloaded cycling (UC) (closeness of connection on the Chaddock scale BR (AT) – BR (peak) ρ = 0.724, BR (AT) – BR (UC) ρ = 0.734, p &lt; 0.001). The chances to develop PC changed as follows: in the group of patients with BR (UC) &lt; 72.025% were 21.4 times higher (95% CI: 2.499 – 182.958); with BR (AT) &lt; 44.136% were 27.2 times higher (95% CI: 4.850 – 152.167); with BR (peak) &lt; 36.677% were 7.6 times higher (95% CI: 1.426 – 40.640).Conclusions. Dynamic measurement of the BR is informative at all stages of CPET. The risk of PPC and their unfavorable outcome increases when the BR is below 72.025% at the unloaded cycling, below 44.136% at the anaerobic threshold and below 36.377% at the peak load. BR can be used as a marker of the development of PPC in patients undergoing lung cancer surgery.

Development and validation of a predictive model for severe white matter hyperintensity with obesity.

The purpose of the present study was to identify predictors of severe white matter hyperintensity (WMH) with obesity (SWO), and to build a prediction model for screening obese people with severe WMH without Nuclear Magnetic Resonance Imaging (MRI) examination. From September 2020 to October 2021, 650 patients with WMH were recruited consecutively. The subjects were divided into two groups, SWO group and non-SWO group. Univariate and Logistic regression analysis were was applied to explore the potential predictors of SWO. The Youden index method was adopted to determine the best cut-off value in the establishment of the prediction model of SWO. Each parameter had two options, low and high. The score table of the prediction model and nomogram based on the logistic regression were constructed. Of the 650 subjects, 487 subjects (75%) were randomly assigned to the training group and 163 subjects (25%) to the validation group. By resampling the area under the curve (AUC) of the subject's operating characteristics and calibration curves 1,000 times, nomogram performance was verified. A decision curve analysis (DCA) was used to evaluate the nomogram's clinical usefulness. By resampling the area under the curve (AUC) of the subject's operating characteristics and calibration curves 1,000 times, nomogram performance was verified. A decision curve analysis (DCA) was used to evaluate the nomogram's clinical usefulness. Logistic regression demonstrated that hypertension, uric acid (UA), complement 3 (C3) and Interleukin 8 (IL-8) were independent risk factors for SWO. Hypertension, UA, C3, IL-8, folic acid (FA), fasting C-peptide (FCP) and eosinophil could be used to predict the occurrence of SWO in the prediction models, with a good diagnostic performance, Areas Under Curves (AUC) of Total score was 0.823 (95% CI: 0.760-0.885, p < 0.001), sensitivity of 60.0%, specificity of 91.4%. In the development group, the nomogram's AUC (C statistic) was 0.829 (95% CI: 0.760-0.899), while in the validation group, it was 0.835 (95% CI: 0.696, 0.975). In both the development and validation groups, the calibration curves following 1,000 bootstraps showed a satisfactory fit between the observed and predicted probabilities. DCA showed that the nomogram had great clinical utility. Hypertension, UA, C3, IL-8, FA, FCP and eosinophil models had the potential to predict the incidence of SWO. When the total score of the model exceeded 9 points, the risk of SWO would increase significantly, and the nomogram enabled visualization of the patient's WMH risk. The application prospect of our models mainly lied in the convenient screening of SWO without MRI examination in order to detect SWO and control the WMH hazards early.

Long-Term Patient-Reported Dyspareunia After Definitive Chemoradiation for Anal Cancer: Using the Anterior Vaginal Wall as an Organ-at-Risk to Define an Actionable Dosimetric Goal

Chemoradiation therapy (CRT) is the standard treatment for squamous cell carcinoma of the anus (SCCA). This study aimed to investigate the relationship between vaginal dosimetry and long-term patient-reported dyspareunia after treatment. We further aimed to use the anterior vaginal wall (AVW) as an organ at risk to define an actionable dosimetric clinical goal to decrease the risk of patient-reported dyspareunia. Women with SCCA treated with intensity modulated radiation therapy-based CRT were surveyed at least 2 years after successfully completing therapy. A Female Sexual Function Index (FSFI) pain subscore ≤4 was used to define dyspareunia. Dosimetric parameters were calculated for both the full vaginal canal and AVW. Multivariable linear regression models were created to identify predictors of FSFI pain subscore using backward selection to identify final variables include in the models. An actionable dosimetric predictor for dyspareunia was established using the Youden index method for cutoff optimization. Of 184 women who were contacted, 90 (49%) returned completed surveys. Of those who completed surveys, 51 (56.7%) reported being sexually active, and 47 had dosimetric data available for review. Of sexually active respondents, 32 (68%) had an FSFI pain subscore ≤4. Multiple regression models were generated using the full vaginal canal and AVW as organs at risk, and both models showed similar predictive relationships with volumetric dose parameters emerging as the best dosimetric predictors for dysparenuia. Age over 65 years was also associated with higher FSFI pain subscores (eg, less pain with intercourse) in both models. AVW V35 Gy < 60% was identified as the optimal cutoff to reduce the risk of patient-reported dyspareunia. Increased dose to the vaginal canal is significantly associated with worse patient-reported dyspareunia following CRT for SCCA. Minimizing dose to the AVW to V35 Gy < 60% may reduce the risk of this quality of life-limiting toxicity. Further prospective evaluation is needed to validate these findings.

Prognostic indicators in patients with isolated thoracic trauma: A retrospective cross-sectional study.

Thoracic trauma is a significant cause of mortality, especially among those arriving at hospitals. This study explores the associations between mortality, the shock index (SI), and specific metabolic and biochemical markers in patients with isolated thoracic trauma. This retrospective cross-sectional study included all consecutive adult patients presenting with isolated thoracic trauma to a high-volume emergency department from January 2019 to December 2023. The predictive capability of SI levels and selected biomarkers upon admission for estimating mortality was assessed by determining the areas under the receiver operating characteristic curves (AUCs). Optimal cutoff values were determined using the Youden index method. The study involved 352 patients, with 285 (81%) being males and an average age of 50.0±17.7 years. The mortality rate was 9.6%. Mortality was significantly associated with higher shock index (odds ratio [OR]: 14.02, [95% confidence interval [CI] 0.847-0.916], AUC=0.885, p=0.001), glucose/potassium ratio (OR: 1.24 [95% CI 1.14-1.35], AUC=0.869, p<0.001), and lactate levels (OR: 4.30 [95% CI 2.29-8.07], AUC=0.832, p<0.001). The optimal cutoff values determined for the shock index, glucose/potassium ratio, ionized calcium, and lactate were 1.02 (sensitivity, 94.1%; specificity 69.5%; positive predictive value [PPV], 24.8; negative predictive value [NPV], 99.1), 36.85 (sensitivity, 76.5%; specificity, 87.7%; PPV, 40.0; NPV, 97.2), 1.23 (sensitivity, 94.1%; specificity, 56.0%; PPV, 18.6; NPV, 98.9), and 1.98 (sensitivity, 70.6%; specificity, 80.5%; PPV, 27.9; NPV, 96.2), respectively. This study demonstrates that higher shock index, glucose/potassium ratio, and lactate levels are significantly associated with increased mortality in patients with isolated thoracic trauma. These findings suggest that these markers can be effective prognostic indicators, potentially guiding clinical decision-making and improving patient outcomes.

Bioelectrical impedance phase angle and the mortality in critically ill children.

Phase angle (PhA) is a variable obtained from bioelectrical impedance analysis (BIA). It is highly sensitive and specific and is commonly used in clinical nutrition assessment. Recently, PhA has shown promise in predicting clinical outcomes, especially as a new indicator of mortality, but its use in pediatric research is limited. This study aims to investigate the association between PhA measured at admission using BIA and PICU length of stay (LOS) and 60-day mortality in critically ill children and adolescents. A consecutive series of pediatric patients in the PICU underwent BIA measurements within 72 h of admission. All patients met the inclusion and exclusion criteria. Patient demographics, anthropometric measurements, pediatric index of mortality 2 score (PIM-2), and laboratory exams were recorded. Kaplan-Meier (K-M) survival curves were constructed based on the critical PhA value to assess differences in survival status within the 60-day window. Multivariate cox regression model was employed to illustrate the relationship between PhA and 60-day mortality rates. The Youden's index method was used to identify the critical cut-off value for PhA in relation to mortality rates. ROC curves provided the area under the curve (AUC) and a 95% confidence interval (CI). A total of 205 pediatric patients (118 boys) were included, with a mean age of 9.2 years (±6.0). Survival curves indicated a cutoff value of 3.1°, with higher survival in patients with PhA ≥3.1° compared to those with PhA <3.1° (F = 10.51, p < 0.0001). The area under the ROC curve was 0.70, with a sensitivity of 0.65 and specificity of 0.72. Total hospital LOS was longer in the PhA <3.1° group compared to the PhA ≥3.1° group (p = 0.000). The PhA <3.1° group had a longer PICU LOS (adjusted for age and sex, HR 1.871, p = 0.000, log-rank test, p = 0.000). PhA and PIM-2 were two independently significant correlated variables (p < 0.05) for the 60-day mortality rate in this study. Low PhA in patients is associated with longer PICU LOS and an increased risk of PICU patient mortality. PhA not only serves as an indicator for monitoring pediatric nutrition but also as a prognostic indicator for PICU patients.

Development and validation of a risk prediction model for pulmonary tuberculosis among presumptive tuberculosis cases in Ethiopia

BackgroundEarly diagnosis and treatment of tuberculosis (TB) is one of the key strategies to achieve the WHO End TB targets. This study aimed to develop and validate a simple, convenient...

Factors Predicting Response in Breast Cancer Receiving Neoadjuvant Therapy and the Role of Ki67 Labeling Index.

To determine the predictive value of Ki67 on pathological complete response (pCR) of breast and axilla regions in breast cancer (BC) patients receiving neoadjuvant therapy (NAT). Descriptive study. Place and Duration of the Study: Departments of Medical Oncology, Sirnak State Hospital, Aydin State Hospital, Manisa Celal Bayar University, and Dokuz Eylul University, from November 2010 to July 2022. PCR and various histopathological parameters were evaluated for BC patients receiving NAT. The Youden Index method was used to find the cut-off value for the Ki67 variable according to the receiver operating characteristic (ROC) curve. This value was obtained as 77.5. Breast and axillary responses were individually evaluated to assess response to NAT. Univariate and multivariate logistic regression analysis were used to predict both breast and axillary pCR. A total number of 280 females receiving NAT for BC were included in the study. Multivariate analysis for breast pCR to NAT showed that Ki67 index (>77.5 vs <77.5, p=0.047) was statistically significant marker. While Ki67 index was significant for breast pCR in both univariate and multivariate analyses, the same was not observed on axillary response (p=0.387). High Ki67 level was significantly associated with breast pCR in BC patients receiving NAT, but a similar effect was not observed on axillary pCR. These findings suggest that breast and axilla tissues have a biological differences in treatment responses. Axillary response, Breast cancer, Ki67 Labeling Index, Neoadjuvant therapy, pathological complete response.

Prognostic significance of the immuno-peritoneal cancer index in peritoneal metastatic patients treated with cytoreductive surgery and hyperthermic intraperitoneal chemotherapy.

A valid comparison of immune function among different patients with different primary pathologies or even with different tumour burdens requires the common use of a reliable assessment of the patient's condition. The combined immuno-PCI system can translate a complex clinical situation into a simple point value to improve postoperative outcomes to assess the prognostic significance of combined immuno-PCI in peritoneal metastatic patients treated with cytoreductive surgery(CRS) and hyperthermic intraperitoneal chemotherapy(HIPEC). Four hundred twenty-four patients from the prospectively maintained database of Dokuz Eylul University Peritoneal Surface Malignancy Center were retrospectively analysed. In addition to the demographic findings and the well-known clinicopathologic factors, several systemic inflammation-based prognostic scores, including the modified Glasgow prognostic score (mGPS), CRP-albumin ratio (CAR), neutrophil-lymphocyte ratio (NLR), neutrophil-thrombocyte ratio (NTR), and thrombocyte count, were all searched and stratified into scoring categories as prognostic determinants of surgical complications, final oncologic outcomes, recurrent disease, disease-free survival (DFS), and overall survival (OS). ROC analyses were performed, and cut-off values were obtained for all immune parameters by using the Youden index method. There were 314 (74%) women and 110 (26%) men. The median age was 56 (ranging from 18 to 86) years. The most frequent sites of peritoneal metastasis were colorectal (n = 204; 48%) and gynaecologic carcinomas (n = 187; 44%). Thirty-three patients (8%) had primary malignant peritoneal mesothelioma. The median follow-up was 37.8 (ranging from 1 to 124) months. The overall survival was 51.7%. The 1-year, 3-year, and 5-year survival rates were estimated as 80%, 48.4%, and 32.6%, respectively. PCI-CAR-NTR (1 to 3) (p < .001) scoring was an independent prognostic factor for DFS. In a Cox backwards regression analysis, anastomotic leak (p = .002), completeness of cytoreduction (p = .0014), number of organ resections (p = .002), lymph node involvement (p = .003), and PCI-CAR-NTR (1 to 3) scoring (p = .001) were found to be independently significant prognostic factors for overall survival. The PCI is a reliable and consistently valid prognostic factor to evaluate the tumour burden and tumour extent in patients treated with CRS/HIPEC. Staging the host by combining the PCI with an immunoscore may help to improve the outcomes of complications and overall survival in these complex cancer patients. The aggregate maximum immuno-PCI tool may be a better prognostic measure for outcome evaluation.

여성 노인 근감소증 진단기준(AWGS 2019)과의 비교를 통한 한국어 버전의 MSRA 질문지 타당성 검증

The purpose of this study is to produce the Korean version of MSRA(MSRA-7, MSRA-5) and to verify its validity as a sarcopenia screening test by comparing it with the diagnosis of sarcopenia according to AWGS 2019. The subjects of this study were 103 elderly women(age 80.22±4.25) over 70 years old. All subjects filled out the MSRA-7 and MSRA-5 questionnaires, and the presence or absence of sarcopenia was diagnosed by measuring grip strength, standing up from a chair 5 times, and muscle mass(DXA) according to the AWGS sarcopenia test algorithm. For data processing, the independent variable t-test was performed to check the discriminant validity, the predictive validity of MSRA-7 and MSRA-5 was investigated using the ROC curve, and the Youden index method was applied to determine the optimal cut-off point(cut-off), and the sensitivity and specificity were calculated.BR Both MSRA-7 and MSRA-5 showed significant differences between the sarcopenia group and the normal group(p=.017, p=.000), and as a result of predictive validity analysis using the AUC caurve, MSRA-5 is a useful tool for diagnosing sarcopenia[AUC .718 (95% CI: .595 to .841)]. Therefore, MRSA-5 was judged as a tool to predict the incidence of sarcopenia in the elderly in Korea.

Negative but Not Positive Alcohol-Related Consequences Tend to Occur Above the Heavy Episodic Drinking Threshold: A Daily Study of Young Adult Heavy Drinkers.

This study used event-level data to identify the threshold (i.e. number of standard alcoholic drinks) at which specific negative and positive alcohol-related consequences are likely to occur. Ninety-six college students aged 18-20 reporting weekly heavy episodic drinking (HED) or at least one negative alcohol-related consequence in the past 2weeks completed ecological momentary assessment over 28days. Participants reported number of standard drinks consumed and negative (e.g. nausea) and positive (e.g. new friend) alcohol-related consequences on 492 drinking nights. The area under the receiver operating characteristic (AUROC) curve measured the ability of an increasing number of drinks consumed to discriminate between nights with versus without a given consequence. The Youden Index method was used to identify the optimal threshold of drinks for each consequence. Thresholds were examined for each consequence by participants' biological sex and heavy drinking status. Across subgroups, most consequences occurred on nights where participants reported higher consumption levels relative to nights where consequences did not occur. Thresholds for negative consequences ranged between four and nine drinks and thresholds for positive consequences were between three and six drinks. Many negative consequences are likely to occur following the traditional HED threshold of 4+/5+ drinks (females/males), with more severe consequences occurring at slightly higher thresholds. Positive consequences are likely to occur at lower thresholds. There may be an optimal number of drinks that maximize positive while minimizing negative consequences for heavy drinking college students.

Perfusion MR prior to radiotherapy is a strong predictor of survival in high-grade gliomas after proton and carbon ion radiotherapy

To assess the survival predictability of perfusion magnetic resonance imaging (MRI) by the normalized cerebral blood volume (nCBV) prior to particle beam radiotherapy (PBRT) in high-grade glioma (HGG) patients underwent particle therapy. The study retrieved dynamic susceptibility contrast MRI acquired prior to PBRT between 6/2015 and 3/2019 in 45 patients with HGG. Maximum nCBV (nCBVmax) within or adjacent to surgical/tumor bed was measured using 'hot-spot' method. The predictive values of nCBVmax for progression-free survival (PFS) and overall survival (OS) were assessed in univariate Kaplan-Meier curve and multivariate Cox proportional hazards (CPH) models. Nomograms based on CPH results were constructed to individualize the predicted probability of OS and PFS. The Kaplan-Meier curves and all CPH models based on nCBVmax as continuous variable (nCBVmax-C), group by cut-off derived from median value and Youden-index method showed that nCBVmax prior to radiotherapy was a strong predictor for both PFS and OS in HGG patients who underwent PBRT. Nomograms built on CPH models showed similar excellent performance in both discrimination and calibration. Perfusion imaging prior to PBRT is a strong predictor of survival in HGG. Novel perfusion MR-based nomogram with prospective validation could potentially be formally used in future clinical practice to individualize survival probability.

Association between fluid balance and mortality for heart failure and sepsis: a propensity score-matching analysis

BackgroundFluid resuscitation is necessary to correct the sepsis-induced hypoperfusion, which is contradictory to the treatment of heart failure. This study explored the association between fluid balance (FB) of the first 24 h after ICU admission and mortality in critically ill patients with heart failure and sepsis.MethodsData were extracted from the Medical Information Mart for Intensive Care database. The locally weighted scatterplot smoothing (Lowess) method was used to demonstrate the relationship between FB and in-hospital mortality. Groups were divided into high FB (≥ 55.85 ml/kg) and low FB (< 55.85 ml/kg) according to the cut-off value of FB using Receiver operating characteristic analysis and Youden index method. The primary outcome was in-hospital mortality. Subgroup analyses, multivariable logistic regression analyses, and Kaplan-Meier curves were used to detect the association and survival difference between groups. Inverse probability treatment weighting (IPTW) and propensity score matching (PSM) were performed to minimize the bias of confounding factors and facilitate the comparability between groups.ResultsA total of 936 patients were included. The Lowess curve showed an approximate positive linear relationship for FB and in-hospital mortality. In the multivariable logistic regression adjusted model, high FB showed strong associations with in-hospital mortality (OR 2.53, 95% CI 1.60–3.99, p < 0.001) as compared to the low FB group. In IPTW and PSM models, high FB consistently showed higher in-hospital mortality (IPTW model: OR 1.94, 95% CI 1.52–2.49, p < 0.001; PSM model: OR 2.93, 95% CI 1.75–4.90, p < 0.001) and 30-day mortality (IPTW model: OR 1.65, 95% CI 1.29–2.10, p < 0.001; PSM model: OR 2.50, 95% CI 1.51–4.15, p < 0.001), compared with the low FB group.ConclusionFor critically ill patients with heart failure and sepsis, high FB within the first 24 h after ICU admission could serve as an independent risk factor for in-hospital mortality and 30-day mortality. The avoidance of fluid overload exerts important effects on reducing mortality in such patients.

Evaluation of endometrial thickness by transvaginal ultrasound and baseline risk factors as a predictor for endometrial abnormalities in postmenopausal women.

To evaluate the endometrial thickness (ET) as a predictor of endometrial abnormalities in postmenopausal women and whether consideration of baseline risk factors increases diagnostic accuracy. This is a retrospective observational study of postmenopausal women presenting with bleeding or thickened endometrium (≥4 mm) on ultrasound, between 2003 and 2012. Risk factors for endometrial abnormality were analysed using logistic regression. Of 301 women, 220 were symptomatic and 81 were asymptomatic. The median ET was 6 mm (IQR 4-9) for symptomatic women and 9 mm (IQR 6-12) for asymptomatic women. Abnormal pathology was found in 35 symptomatic (15.9%) and 6 asymptomatic women (7.4%). For each 1 mm increase in ET, the odds of an abnormal diagnosis increased by 16.3% (95% CI 9.6-23.5) for symptomatic and 19.9% (95% CI 3.1-39.3) for asymptomatic women. The Youden's index method identified an ET threshold of ≥7.1mm for symptomatic and ≥14.5mm for asymptomatic women. In symptomatic women the sensitivity was 88.6% (95% CI 72.3-96.3) and specificity 69.2% (95% CI 61.9-75.6), while in asymptomatic women the sensitivity was 50.0% (95% CI 13.9-86.1) and specificity was 89.3% (95% CI 79.5-95.0). The addition of age in the symptomatic women model reduced the sensitivity (82.9% (95% CI 65.7-92.8)) but increased the specificity (72.4% (95% CI 65.3-78.6)). ET is a significant predictor of abnormality. In the absence of risk factors, our study suggests that invasive procedures may be withheld until the ET is ≥7.1 mm with bleeding and ≥14.5 mm in asymptomatic women with no bleeding.

MO293: Evaluation of Uric Acid Concentration and Acute Renal Impairment in Patients on Admission for Hospital Treatment

Abstract BACKGROUND AND AIMS Elevated uric acid (UA) is associated with comorbidities such as hypertension, diabetes, cardiovascular disease and chronic kidney disease. There are more studies that discuss the importance of uric acid (UA) for acute kidney failure. Anaemia is a common risk factor for the development of AKI in hospitalized patients. There is an association between elevated iron and urate production in healthy people. The aim of this study was to evaluate value of UA as a risk factor for the development of acute kidney damage on admission for hospital treatment. We also determined, risk factors related to UA value and its relationship with anaemia. METHOD The study included 86 hospitalized patients with acute renal impairment who were divided according to the stage of renal impairment at admission to hospital treatment into three groups. The assessment of acute renal impairment and the classification of disease stages were based on the diagnostic stages by the KDIGO group. All the examined patients were &amp;gt;18 years of age. In the first stage of the disease, it was 12.79%, in the second stage, it was 15.12% and in the third, it was 72.09% of patients. RESULTS UA values were the lowest in the first stage 551.00 ± 225.64 μmol/L and highest in the third stage 670.02 ± 86.72 μmol/L, but without statistical significance. The lowest percentage with renal function was 12.9% in patients with stage 3 acute renal impairment. There was a statistically significant difference with patients with stage 1 and stage 2 (P &amp;lt; .017) renal impairment. The ROC curve for the cut-off value of uric acid 903.00 μmol/L based on the Youden index method with a sensitivity of 91.70% and a predictive value of 17.00% as a marker of acute kidney damage in stage 2 disease is larger than in other stages acute kidney injury. Although there is a significant relationship with risk of UA with haemoglobin values according to the following results: OR 1.036 [95% confidence interval (95% CI) 1.003–1.071; P = .030] and haematocrit level based on predicted probability and OR 1.149 (95% CI 1.028–1.285; P = .015). CONCLUSION The study showed that high values of uric acid in patients with acute kidney damage at the beginning of hospital treatment did not show the same significance in different phases of kidney damage. We confirmed the link between anaemia and UA levles. Ineffective renal UA clearance means progression of the disease course to the next stage, and over time as a sign of progression of the renal continuum to chronic damage.

What Factors Are Associated With Postoperative Ischiofemoral Impingement After Bernese Periacetabular Osteotomy in Developmental Dysplasia of the Hip?

Any abnormal structures that contribute to the narrowing of the ischiofemoral space could induce ischiofemoral impingement. Bernese periacetabular osteotomy (PAO) medializes the hip center and, therefore, decreases contact stress on the cartilage in developmental dysplasia of the hip (DDH). However, medialization of the hip center might also narrow the ischiofemoral space, which may increase the risk of postoperative ischiofemoral impingement in patients with acetabular dysplasia who are undergoing PAO. Furthermore, the dysplastic hip has less ischiofemoral space and less space for the quadratus femoris. A few studies have focused on the amount of medialization of the hip center, but the proportion of postoperative ischiofemoral impingement after PAO has not been investigated. (1) What proportion of patients develop ischiofemoral impingement after undergoing unilateral PAO for DDH? (2) What radiographic factors are associated with postoperative ischiofemoral impingement in patients who underwent PAO for DDH? (3) How much hip center medialization is safe so as to avoid postoperative ischiofemoral impingement during PAO? Between 2014 and 2016, we treated 265 adult patients who had symptomatic residual acetabular dysplasia (lateral center-edge angle less than 20°) using PAO. During that time, we generally offered PAO to patients with acetabular dysplasia when the patients had no advanced osteoarthritis (Tönnis grade < 2). Of those, we considered only patients who underwent primary PAO without femoral osteotomy as potentially eligible. Based on that, 65% (173 of 265) were eligible; a further 9% (24 of 265) were excluded due to leg length discrepancy, spine disorders, or joint replacement in the contralateral side, and another 6% (17 of 265) of patients were lost before the minimum study follow-up of 2 years or had incomplete datasets, leaving 50% (132 of 265) for analysis in this retrospective study at a mean of 2.70 ± 0.71 years. The diagnosis of ischiofemoral impingement was defined by symptoms, MRI, and diagnostic ischiofemoral injection. We ascertained the percentage of patients with this diagnosis to answer the first research question. To answer the second question, we divided the patients into two groups: PAO patients with ischiofemoral impingement and PAO patients without ischiofemoral impingement. The demographic data and preoperative imaging parameters of patients in both groups were compared. There were statistical differences in acetabular version, ischial angle, neck-shaft angle, the presence of positive coxa profunda sign, McKibbin index, ischiofemoral space, quadratus femoris space, anterior acetabular section angle, and the net amount of hip center medialization. To investigate potential factors associated with postoperative ischiofemoral impingement in patients who underwent PAO, these factors underwent binary logistic regression analysis. To answer the third question, the cutoff value of the net amount of hip center medialization was evaluated using receiver operator characteristic curve and the Youden index method. We found that 26% (35 of 132) of PAO dysplastic hips had postoperative ischiofemoral impingement. After controlling for confounding variables such as acetabular version, ischial angle, femoral neck version, McKibbin index, and ischiofemoral space, we found that an increasing neck-shaft angle (odds ratio 1.14 [95% confidence interval 1.01 to 1.29]; p = 0.03), a positive coxa profunda sign (OR 0.13 [95% CI 0.03 to 0.58]; p < 0.01), and an increasing net amount of hip center medialization (OR 2.76 [95% CI 1.70 to 4.47]; p < 0.01) were associated with postoperative ischiofemoral impingement in patients with DDH who underwent PAO (R 2 = 0.73). The cutoff values of neck-shaft angle was 138.4°. The cutoff values of the net amount of hip center medialization was 1.9 mm. Postoperative ischiofemoral impingement could occur in patients with acetabular dysplasia who have undergone PAO after hip center medialization. An increasing neck-shaft angle, a positive coxa profunda sign on preoperative imaging, and excessive medialization of the hip center are factors associated with ischiofemoral impingement development in these patients. Therefore, we suggest that physicians measure the ischiofemoral space on a preoperative CT when patients with DDH have an increasing neck-shaft angle (> 138.4°) or a positive coxa profunda sign on radiological imaging. During PAO, the amount of hip center medialization should be carefully controlled to keep these patients from developing postoperative ischiofemoral impingement. Level III, therapeutic study.

The Utility and Diagnostic Accuracy of Transient Elastography in Adults with Morbid Obesity: A Prospective Study.

Patients with morbid obesity are at high risk for nonalcoholic fatty liver disease (NAFLD) complicated by liver fibrosis. The clinical utility of transient elastography (TE) by Fibroscan in patients with morbid obesity (body mass index (BMI) ≥ 40 kg/m2) is not well-defined. We examined the diagnostic accuracy of Fibroscan in predicting significant liver fibrosis (fibrosis stage ≥2) in morbidly obese patients (BMI ≥ 40 kg/m2). Patients scheduled for bariatric surgery were prospectively enrolled. Intraoperative liver biopsy, liver-stiffness measurement (LSM) by Fibroscan (XL probe), and biochemical evaluation were all performed on the same day. The endpoint was significant liver fibrosis defined as fibrosis stage ≥2 based on the Nonalcoholic Steatohepatitis Clinical Research Network. The optimal LSM cutoff value for detecting significant fibrosis was determined by using the Youden Index method. Routine clinical, laboratory, and elastography data were analyzed by stepwise logistic regression analysis to identify predictors of significant liver fibrosis and build a predictive model. An optimal cutoff point of the new model’s regression formula for predicting significant fibrosis was determined by using the Youden index method. One hundred sixty-seven patients (mean age, 46.4 years) were included, of whom 83.2% were female. Histological assessment revealed the prevalence of steatohepatitis and significant fibrosis of 40.7% and 11.4%, respectively. The median LSM was found to be significantly higher in the significant fibrosis group compared to those in the no or non-significant fibrosis group (18.2 vs. 7.7 kPa, respectively; p = 0.0004). The optimal LSM cutoff for predicting significant fibrosis was 12.8 kPa, with an accuracy of 71.3%, sensitivity of 73.7%, specificity of 70.9%, positive predictive value of 24.6%, negative predictive value of 95.5%, and ROC area of 0.723 (95% CI: 0.62–0.83). Logistic regression analysis identified three independent predictors of significant fibrosis: LSM, hemoglobin A1c, and alkaline phosphatase. A risk score was developed by using these three variables. At an optimal cutoff value of the regression formula, the risk score had an accuracy of 79.6% for predicting significant fibrosis, sensitivity of 89.5%, specificity of 78.4%, positive predictive value of 34.7%, negative predictive value of 98.3%, and ROC area of 0.855 (95% CI: 0.76–0.95). Fibroscan utility in predicting significant liver fibrosis in morbidly obese subjects is limited with accuracy of 71.3%. A model incorporating hemoglobin A1c and alkaline phosphatase with LSM improves accuracy in detecting significant fibrosis in this patient population.

P359 Radiomics could predict surgery at, 10 years in Crohn’s disease

Abstract Background Predicting clinical outcomes and defining the best time for elective surgery represents a major challenge in managing Crohn’s disease (CD) patients. Radiomics provides a method to extract quantitative features from medical images and may successfully predict clinical course. Although radiomics has been successfully used in oncology, its application in inflammatory bowel disease is still scarce. The aim of this pilot study is to evaluate the use of radiomics to predict the need for surgery in a cohort of CD patients with a long-term follow-up. Methods We retrospectively selected a cohort of, 30 CD patients undergone one or more CT scan enterographies between, 2009 and, 2011 for a total of, 44 CT scans. For each CT scan, typical lesions of CD were searched by an expert radiologist generating a region of interest (ROI) segmentation for each lesion., 93 lesions were lastly obtained for radiomic analysis., 217 radiomic features were extracted from each ROI using a dedicated institutional R library (Moddicom) validated within the Image Biomarker Standardization Initiative. Patients’ charts were reviewed to assess if patients underwent surgery in a, 10-year follow-up for a binary classification. The feature selection process included a univariate analysis with the Wilcoxon-Mann-Whitney test, the application of Boruta algorithm and the exclusion of highly correlated features. A logistic regression model was built with the selected features and evaluated by computing the area under the curve (AUC) of the receiver operating characteristic (ROC) curve. Accuracy, sensitivity, specificity, positive and negative predictive values (PPV, NPV) of the model were calculated using the best cut-off according to the Youden index method. A 3-fold cross-validation repeated, 5 times was used for internal validation. Results Two radiomic features were obtained from the feature selection process and resulted statistically significant in the fitted logistic regression model (p &amp;lt;, 0.0001) in predicting surgery: grey level histogram variance and grey level non-uniformity. This model presented an AUC (95% CI) of, 0.83 (0.73-0-91) in predicting surgery, confirmed by the cross-validation. Mean (standard deviation) values of the model performance metrics over the cross-validation iterations were: accuracy, 0.78 (0.02), sensitivity, 0.68 (0.14), specificity, 0.86 (0.07), PPV, 0.72 (0.12), NPV, 0.83 (0.09). Conclusion Radiomics could be a helpful tool to identify patients with high risk for surgery and needing a stricter monitoring or therapy intensification. Further studies are required to understand the possible corresponding histopathological features and to obtain larger and external validations of this model.